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  4. NFDI4DSO: Towards a BFO Compliant Ontology for Data Science
 
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2024
Conference Paper
Title

NFDI4DSO: Towards a BFO Compliant Ontology for Data Science

Abstract
The NFDI4DataScience (NFDI4DS) project aims to enhance the accessibility and interoperability of research data within Data Science (DS) and Artificial Intelligence (AI) by connecting digital artifacts and ensuring they adhere to FAIR (Findable, Accessible, Interoperable, and Reusable) principles.To this end, this poster introduces the NFDI4DS Ontology, which describes resources in DS and AI and models the structure of the NFDI4DS consortium.Built upon the NFDICore ontology and mapped to the Basic Formal Ontology (BFO), this ontology serves as the foundation for the NFDI4DS knowledge graph currently under development.
Author(s)
Gesese, Genet Asefa
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Waitelonis, Jörg
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Chen, Zongxiong
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Schimmler, Sonja  
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Sack, Harald
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Mainwork
Ceur Workshop Proceedings
Funder
Bundesministerium für Bildung und Forschung  
Conference
Joint of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems, SEMANTiCS-PDWT 2024
Language
English
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Keyword(s)
  • Artificial Intelligence

  • Data Science

  • Knowledge Graph

  • NFDI4DS

  • Ontology

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